The PAROLE Portuguese Corpus – tagged subset contains 250.000 tokens and is a subset of the PAROLE Portuguese Corpus of 3 million running words of European Portuguese. The corpus was classified and encoded according to the common core parole encoding standard. The tagged subset reproduces appro...
The Spoken Corpus Mozambique contains approximately 121,958 running words of spoken Portuguese from Mozambique. It includes 40 transcriptions of spoken recordings (in a total of 40 hours of recordings) that were recorded between 1986 and 1987.
The DeepBankPT (Branco et. al. 2010) is a corpus of semantic dependencies of translated texts composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal. The DeepBankPT is composed of MRS and AVM representations, derivation tree, and syntactic tree with grammatical and se...
The CINTIL-NamedEntities corpus, built upon the CINTIL International Corpus of Portuguese (Barreto et al., 2006), is composed of 30,493 sentences of written Portuguese with named entities manually disambiguated and annotated with links to appropriate pages in the Portuguese Dbpedia (Lehmann et al...
A collection of language resources for the evaluation of distributional semantic models of Portuguese: LX-SimLex-999: http://metashare.metanet4u.eu/go2/lx-simlex-999 LX-Rare Word Similarity Data set: http://metashare.metanet4u.eu/go2/lx-rare-word-similarity-dataset LX-WordSim-353: h...
The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...
The LX-SimLex-999 was created from SimLex-999 (Hill et al., 2015) which, in turn, was based in the University of South Florida Free Association Database (USF) (Nelson et al., 2014). There were strict guidelines to create SimLex-999. Both words in each pair have the same morphosyntactic category ...
The LX-Battig was created from Battig test.set (Baroni et al., 2010). This data set has 83 concrete concepts of the following 10 categories: mammals, birds, fish, vegetables, fruit, trees, vehicles, clothes, tools and kitchenware. The categories names and the concepts were translated by two trans...